2 papers
stat.ML2026
Efficient Human-in-the-Loop Active Learning: A Novel Framework for Data Labeling in AI Systems
Yiran Huang, Jian-Feng Yang, Haoda Fu
Modern AI algorithms require labeled data. In real world, majority of data are unlabeled. Labeling the data are costly. this is particularly true for some areas requiring special s…
stat.ME2025
Integrating RCTs, RWD, AI/ML and Statistics: Next-Generation Evidence Synthesis
Shu Yang, Margaret Gamalo, Haoda Fu
Randomized controlled trials (RCTs)have been the cornerstone of clinical evidence; however, their cost, duration, and restrictive eligibility criteria limit power and external vali…